Senior Data Scientist
Updated on 9/5/2023

201-500 employees

Cloud email security platform
Company Overview
Tessian's mission is to secure the human layer in the modern workplace, by protecting all the digital interactions people need to do their jobs. Using machine learning technology, Tessian automatically stops data breaches and security threats caused by human error.
London, UK • Remote
Experience Level
Desired Skills
Data Science
Natural Language Processing (NLP)
AI & Machine Learning
Data & Analytics
  • Has experience bringing graph neural networks into production at scaleHas in-depth experience with deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
  • Has worked hands-on with and understands the principles behind working with structured and unstructured data at scale
  • Cares deeply about the impact their team has, is creative at heart, and can encourage novel ways of critical thinking in their team. This has always been a core part of the data science team's DNA
  • Takes responsibility for delivering large projects that require collaboration from start to finishHas strong listening skills; open to input from other team members and departments
  • Work on some of the most challenging NLP problem statements using state-of-the-art machine learning models (encoder-decoder transformers, LLMs )
  • Wrangle and draw insights from massive amounts of unstructured email data using the latest tools and technologies (PySpark, Iceberg, AWS SageMaker)
  • Directly impact the effectiveness of our products by training and deploying models to production using AWS SageMaker as the MLOps platform
  • Brainstorm, communicate, and partner with Product and Engineering teams promoting a data-driven approach to identify focus areas for data science
  • Mentor data scientists, drive best practices and cultivate an environment of experimentation and learning
  • Stay up-to-date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
Desired Qualifications
  • Has 4+ years experience in Data Science or ML, with 2+ years experience in the NLP domain developing and productionizing machine learning models (experience with LLMs, generative AI is a plus)